Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	2106
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	214.0 KiB
Average record size in memory	104.1 B

Variable types

Categorical	3
Numeric	10

Alerts

`datum` has a high cardinality: 2106 distinct values	High cardinality
`R06` is highly correlated with `Month`	High correlation
`Month` is highly correlated with `R06`	High correlation
`datum` is uniformly distributed	Uniform
`Weekday Name` is uniformly distributed	Uniform
`datum` has unique values	Unique
`M01AB` has 40 (1.9%) zeros	Zeros
`M01AE` has 36 (1.7%) zeros	Zeros
`N02BA` has 78 (3.7%) zeros	Zeros
`N02BE` has 26 (1.2%) zeros	Zeros
`N05B` has 43 (2.0%) zeros	Zeros
`N05C` has 1430 (67.9%) zeros	Zeros
`R03` has 484 (23.0%) zeros	Zeros
`R06` has 256 (12.2%) zeros	Zeros

Reproduction

Analysis started	2022-02-23 07:02:11.664788
Analysis finished	2022-02-23 07:02:37.356078
Duration	25.69 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

datum
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	2106
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

1/2/2014	1
11/16/2017	1
11/14/2017	1
11/13/2017	1
11/12/2017	1
Other values (2101)	2101

Length

Max length	10
Median length	9
Mean length	8.924026591
Min length	8

Characters and Unicode

Total characters	18794
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2106 ?
Unique (%)	100.0%

Sample

1st row	1/2/2014
2nd row	1/3/2014
3rd row	1/4/2014
4th row	1/5/2014
5th row	1/6/2014

Common Values

Value	Count	Frequency (%)
1/2/2014	1	< 0.1%
11/16/2017	1	< 0.1%
11/14/2017	1	< 0.1%
11/13/2017	1	< 0.1%
11/12/2017	1	< 0.1%
11/11/2017	1	< 0.1%
11/10/2017	1	< 0.1%
11/9/2017	1	< 0.1%
11/8/2017	1	< 0.1%
11/7/2017	1	< 0.1%
Other values (2096)	2096	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1/2/2014	1	< 0.1%
1/4/2014	1	< 0.1%
1/6/2014	1	< 0.1%
1/7/2014	1	< 0.1%
1/8/2014	1	< 0.1%
1/9/2014	1	< 0.1%
1/10/2014	1	< 0.1%
1/11/2014	1	< 0.1%
1/12/2014	1	< 0.1%
1/13/2014	1	< 0.1%
Other values (2096)	2096	99.5%

Most occurring characters

Value	Count	Frequency (%)
/	4212	22.4%
1	3846	20.5%
2	3323	17.7%
0	2470	13.1%
7	759	4.0%
8	759	4.0%
5	759	4.0%
6	754	4.0%
4	752	4.0%
9	663	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14582	77.6%
Other Punctuation	4212	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3846	26.4%
2	3323	22.8%
0	2470	16.9%
7	759	5.2%
8	759	5.2%
5	759	5.2%
6	754	5.2%
4	752	5.2%
9	663	4.5%
3	497	3.4%

Other Punctuation

Value	Count	Frequency (%)
/	4212	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18794	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	4212	22.4%
1	3846	20.5%
2	3323	17.7%
0	2470	13.1%
7	759	4.0%
8	759	4.0%
5	759	4.0%
6	754	4.0%
4	752	4.0%
9	663	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18794	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	4212	22.4%
1	3846	20.5%
2	3323	17.7%
0	2470	13.1%
7	759	4.0%
8	759	4.0%
5	759	4.0%
6	754	4.0%
4	752	4.0%
9	663	3.5%

M01AB
Real number (ℝ_≥0)

ZEROS

Distinct	218
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.033683325

Minimum	0
Maximum	17.34
Zeros	40
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4.99
Q3	6.67
95-th percentile	10
Maximum	17.34
Range	17.34
Interquartile range (IQR)	3.67

Descriptive statistics

Standard deviation	2.737578507
Coefficient of variation (CV)	0.543851953
Kurtosis	0.5900347612
Mean	5.033683325
Median Absolute Deviation (MAD)	1.99
Skewness	0.6423125147
Sum	10600.93708
Variance	7.494336084
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	126	6.0%
5	119	5.7%
3	111	5.3%
6	99	4.7%
2	99	4.7%
1	63	3.0%
7	60	2.8%
5.33	58	2.8%
3.33	57	2.7%
2.33	55	2.6%
Other values (208)	1259	59.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40	1.9%
0.2125	1	< 0.1%
0.33	6	0.3%
0.34	10	0.5%
0.66	2	0.1%
0.67	5	0.2%
0.68	2	0.1%
0.83	1	< 0.1%
1	63	3.0%
1.18	2	0.1%

Value	Count	Frequency (%)
17.34	1	< 0.1%
17	1	< 0.1%
16.68	1	< 0.1%
16.18	1	< 0.1%
15.33	1	< 0.1%
14.66	1	< 0.1%
14.33	1	< 0.1%
14.18	1	< 0.1%
14.01	1	< 0.1%
14	1	< 0.1%

M01AE
Real number (ℝ_≥0)

ZEROS

Distinct	694
Distinct (%)	33.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.895830316

Minimum	0
Maximum	14.463
Zeros	36
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.81625
Q1	2.34
median	3.67
Q3	5.138
95-th percentile	7.66
Maximum	14.463
Range	14.463
Interquartile range (IQR)	2.798

Descriptive statistics

Standard deviation	2.133336599
Coefficient of variation (CV)	0.5475948453
Kurtosis	0.8918244314
Mean	3.895830316
Median Absolute Deviation (MAD)	1.34
Skewness	0.7183773911
Sum	8204.618646
Variance	4.551125046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	55	2.6%
2	53	2.5%
3.34	52	2.5%
4	47	2.2%
2.34	45	2.1%
1	39	1.9%
2.33	38	1.8%
0	36	1.7%
3.33	34	1.6%
1.34	34	1.6%
Other values (684)	1673	79.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36	1.7%
0.033	1	< 0.1%
0.066	3	0.1%
0.157	1	< 0.1%
0.198	1	< 0.1%
0.231	1	< 0.1%
0.33	10	0.5%
0.34	12	0.6%
0.363	2	0.1%
0.373	1	< 0.1%

Value	Count	Frequency (%)
14.463	1	< 0.1%
13.34	1	< 0.1%
12.706	1	< 0.1%
11.99	1	< 0.1%
11.745	1	< 0.1%
11.69	1	< 0.1%
11.505	1	< 0.1%
11.32	1	< 0.1%
11.31	1	< 0.1%
10.76	1	< 0.1%

N02BA
Real number (ℝ_≥0)

ZEROS

Distinct	199
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.880441121

Minimum	0
Maximum	16
Zeros	78
Zeros (%)	3.7%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.6
Q1	2
median	3.5
Q3	5.2
95-th percentile	8
Maximum	16
Range	16
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	2.384010237
Coefficient of variation (CV)	0.6143657802
Kurtosis	1.187551278
Mean	3.880441121
Median Absolute Deviation (MAD)	1.5
Skewness	0.8494966517
Sum	8172.209
Variance	5.683504808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	217	10.3%
2	212	10.1%
4	178	8.5%
1	147	7.0%
5	143	6.8%
6	104	4.9%
0	78	3.7%
7	63	3.0%
8	31	1.5%
3.5	30	1.4%
Other values (189)	903	42.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	78	3.7%
0.1	3	0.1%
0.15	2	0.1%
0.2	8	0.4%
0.25	6	0.3%
0.3	2	0.1%
0.4	1	< 0.1%
0.416666667	1	< 0.1%
0.45	1	< 0.1%
0.5	3	0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
15	1	< 0.1%
14.4	1	< 0.1%
14	1	< 0.1%
13.7	1	< 0.1%
13.3	1	< 0.1%
13.29166667	1	< 0.1%
12.7	1	< 0.1%
12.5	1	< 0.1%
12.3	1	< 0.1%

N02BE
Real number (ℝ_≥0)

ZEROS

Distinct	713
Distinct (%)	33.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.9170953

Minimum	0
Maximum	161
Zeros	26
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	10.2
Q1	19
median	26.9
Q3	38.3
95-th percentile	59.9375
Maximum	161
Range	161
Interquartile range (IQR)	19.3

Descriptive statistics

Standard deviation	15.59096554
Coefficient of variation (CV)	0.5211390137
Kurtosis	3.418982129
Mean	29.9170953
Median Absolute Deviation (MAD)	9.3
Skewness	1.202291302
Sum	63005.40271
Variance	243.0782065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	37	1.8%
19	36	1.7%
20	34	1.6%
18	34	1.6%
24	34	1.6%
22	34	1.6%
14	32	1.5%
23	30	1.4%
16	27	1.3%
21	26	1.2%
Other values (703)	1782	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26	1.2%
1.2	1	< 0.1%
2	2	0.1%
3	1	< 0.1%
6	3	0.1%
6.2	1	< 0.1%
6.5	1	< 0.1%
6.6	2	0.1%
6.7	1	< 0.1%
6.8	1	< 0.1%

Value	Count	Frequency (%)
161	1	< 0.1%
108.7	1	< 0.1%
100.1	1	< 0.1%
97.8	1	< 0.1%
93.05	1	< 0.1%
89.3	1	< 0.1%
88.4	1	< 0.1%
88.3	1	< 0.1%
88.2	1	< 0.1%
87.2	1	< 0.1%

N05B
Real number (ℝ_≥0)

ZEROS

Distinct	77
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.853626543

Minimum	0
Maximum	54.83333333
Zeros	43
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	8
Q3	12
95-th percentile	19
Maximum	54.83333333
Range	54.83333333
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.605604747
Coefficient of variation (CV)	0.633142218
Kurtosis	4.022887927
Mean	8.853626543
Median Absolute Deviation (MAD)	3
Skewness	1.324840405
Sum	18645.7375
Variance	31.42280458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	167	7.9%
7	166	7.9%
5	160	7.6%
4	159	7.5%
9	154	7.3%
8	151	7.2%
3	133	6.3%
11	130	6.2%
10	118	5.6%
12	102	4.8%
Other values (67)	666	31.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	43	2.0%
1	49	2.3%
2	89	4.2%
2.6	1	< 0.1%
3	133	6.3%
3.5	3	0.1%
4	159	7.5%
5	160	7.6%
5.5	1	< 0.1%
6	167	7.9%

Value	Count	Frequency (%)
54.83333333	1	< 0.1%
43	1	< 0.1%
36	1	< 0.1%
33	3	0.1%
32	2	0.1%
31	4	0.2%
30	1	< 0.1%
29	2	0.1%
28.33333333	1	< 0.1%
28	2	0.1%

N05C
Real number (ℝ_≥0)

ZEROS

Distinct	20
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5935224755

Minimum	0
Maximum	9
Zeros	1430
Zeros (%)	67.9%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.09298832
Coefficient of variation (CV)	1.841528106
Kurtosis	8.763071582
Mean	0.5935224755
Median Absolute Deviation (MAD)	0
Skewness	2.520467859
Sum	1249.958333
Variance	1.194623468
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	1430	67.9%
1	334	15.9%
2	157	7.5%
3	113	5.4%
4	23	1.1%
5	12	0.6%
0.833333333	5	0.2%
1.25	5	0.2%
6	4	0.2%
0.416666667	4	0.2%
Other values (10)	19	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1430	67.9%
0.416666667	4	0.2%
0.625	2	0.1%
0.833333333	5	0.2%
1	334	15.9%
1.25	5	0.2%
1.666666667	2	0.1%
1.875	1	< 0.1%
2	157	7.5%
2.083333333	4	0.2%

Value	Count	Frequency (%)
9	2	0.1%
8	2	0.1%
7	2	0.1%
6	4	0.2%
5	12	0.6%
4.166666667	1	< 0.1%
4	23	1.1%
3	113	5.4%
2.916666667	1	< 0.1%
2.5	2	0.1%

R03
Real number (ℝ_≥0)

ZEROS

Distinct	64
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.512261594

Minimum	0
Maximum	45
Zeros	484
Zeros (%)	23.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	8
95-th percentile	20
Maximum	45
Range	45
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.428736372
Coefficient of variation (CV)	1.166261119
Kurtosis	4.015505418
Mean	5.512261594
Median Absolute Deviation (MAD)	3
Skewness	1.829746242
Sum	11608.82292
Variance	41.32865135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	484	23.0%
1	257	12.2%
5	188	8.9%
2	173	8.2%
6	146	6.9%
3	119	5.7%
7	93	4.4%
10	84	4.0%
4	73	3.5%
8	63	3.0%
Other values (54)	426	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	484	23.0%
0.416666667	1	< 0.1%
1	257	12.2%
1.25	1	< 0.1%
1.416666667	1	< 0.1%
1.666666667	3	0.1%
1.875	1	< 0.1%
2	173	8.2%
2.5	3	0.1%
2.916666667	1	< 0.1%

Value	Count	Frequency (%)
45	1	< 0.1%
41	1	< 0.1%
37	1	< 0.1%
36	1	< 0.1%
35	1	< 0.1%
34	2	0.1%
33	2	0.1%
31	6	0.3%
30	3	0.1%
29	4	0.2%

R06
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	98
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.900198243

Minimum	0
Maximum	15
Zeros	256
Zeros (%)	12.2%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	8
Maximum	15
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.415815905
Coefficient of variation (CV)	0.8329830247
Kurtosis	1.989410302
Mean	2.900198243
Median Absolute Deviation (MAD)	1
Skewness	1.292813236
Sum	6107.8175
Variance	5.836166485
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	392	18.6%
1	351	16.7%
3	295	14.0%
0	256	12.2%
4	173	8.2%
5	143	6.8%
6	84	4.0%
7	49	2.3%
8	26	1.2%
10	24	1.1%
Other values (88)	313	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	256	12.2%
0.1	3	0.1%
0.2	4	0.2%
0.3	1	< 0.1%
0.33	1	< 0.1%
0.34	1	< 0.1%
0.4	4	0.2%
0.5	2	0.1%
0.6	1	< 0.1%
0.625	1	< 0.1%

Value	Count	Frequency (%)
15	2	0.1%
13.5	1	< 0.1%
12.4	1	< 0.1%
12.2	1	< 0.1%
12.1	1	< 0.1%
12	6	0.3%
11	9	0.4%
10.5	4	0.2%
10.4	1	< 0.1%
10	24	1.1%

Year
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.401235

Minimum	2014
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	2014
5-th percentile	2014
Q1	2015
median	2016
Q3	2018
95-th percentile	2019
Maximum	2019
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.665060368
Coefficient of variation (CV)	0.0008257584549
Kurtosis	-1.221280398
Mean	2016.401235
Median Absolute Deviation (MAD)	1
Skewness	0.04472617313
Sum	4246541
Variance	2.772426029
Monotonicity	Increasing

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2016	366	17.4%
2015	365	17.3%
2017	365	17.3%
2018	365	17.3%
2014	364	17.3%
2019	281	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2014	364	17.3%
2015	365	17.3%
2016	366	17.4%
2017	365	17.3%
2018	365	17.3%
2019	281	13.3%

Value	Count	Frequency (%)
2019	281	13.3%
2018	365	17.3%
2017	365	17.3%
2016	366	17.4%
2015	365	17.3%
2014	364	17.3%

Month
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.344254511

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.386953836
Coefficient of variation (CV)	0.5338615955
Kurtosis	-1.161574205
Mean	6.344254511
Median Absolute Deviation (MAD)	3
Skewness	0.04384499493
Sum	13361
Variance	11.47145628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	186	8.8%
5	186	8.8%
7	186	8.8%
8	186	8.8%
1	185	8.8%
4	180	8.5%
6	180	8.5%
9	180	8.5%
2	169	8.0%
10	163	7.7%
Other values (2)	305	14.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	185	8.8%
2	169	8.0%
3	186	8.8%
4	180	8.5%
5	186	8.8%
6	180	8.5%
7	186	8.8%
8	186	8.8%
9	180	8.5%
10	163	7.7%

Value	Count	Frequency (%)
12	155	7.4%
11	150	7.1%
10	163	7.7%
9	180	8.5%
8	186	8.8%
7	186	8.8%
6	180	8.5%
5	186	8.8%
4	180	8.5%
3	186	8.8%

Hour
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

276	2104
248	1
190	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6318
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	248
2nd row	276
3rd row	276
4th row	276
5th row	276

Common Values

Value	Count	Frequency (%)
276	2104	99.9%
248	1	< 0.1%
190	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
276	2104	99.9%
248	1	< 0.1%
190	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	2105	33.3%
7	2104	33.3%
6	2104	33.3%
4	1	< 0.1%
8	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
0	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6318	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2105	33.3%
7	2104	33.3%
6	2104	33.3%
4	1	< 0.1%
8	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
0	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	6318	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2105	33.3%
7	2104	33.3%
6	2104	33.3%
4	1	< 0.1%
8	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6318	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2105	33.3%
7	2104	33.3%
6	2104	33.3%
4	1	< 0.1%
8	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
0	1	< 0.1%

Weekday Name
Categorical

UNIFORM

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.6 KiB

Thursday	301
Friday	301
Saturday	301
Sunday	301
Monday	301
Other values (2)	601

Length

Max length	9
Median length	7
Mean length	7.141975309
Min length	6

Characters and Unicode

Total characters	15041
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thursday
2nd row	Friday
3rd row	Saturday
4th row	Sunday
5th row	Monday

Common Values

Value	Count	Frequency (%)
Thursday	301	14.3%
Friday	301	14.3%
Saturday	301	14.3%
Sunday	301	14.3%
Monday	301	14.3%
Tuesday	301	14.3%
Wednesday	300	14.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
thursday	301	14.3%
friday	301	14.3%
saturday	301	14.3%
sunday	301	14.3%
monday	301	14.3%
tuesday	301	14.3%
wednesday	300	14.2%

Most occurring characters

Value	Count	Frequency (%)
a	2407	16.0%
d	2406	16.0%
y	2106	14.0%
u	1204	8.0%
r	903	6.0%
n	902	6.0%
s	902	6.0%
e	901	6.0%
T	602	4.0%
S	602	4.0%
Other values (7)	2106	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12935	86.0%
Uppercase Letter	2106	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2407	18.6%
d	2406	18.6%
y	2106	16.3%
u	1204	9.3%
r	903	7.0%
n	902	7.0%
s	902	7.0%
e	901	7.0%
o	301	2.3%
t	301	2.3%
Other values (2)	602	4.7%

Uppercase Letter

Value	Count	Frequency (%)
T	602	28.6%
S	602	28.6%
M	301	14.3%
F	301	14.3%
W	300	14.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15041	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2407	16.0%
d	2406	16.0%
y	2106	14.0%
u	1204	8.0%
r	903	6.0%
n	902	6.0%
s	902	6.0%
e	901	6.0%
T	602	4.0%
S	602	4.0%
Other values (7)	2106	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15041	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2407	16.0%
d	2406	16.0%
y	2106	14.0%
u	1204	8.0%
r	903	6.0%
n	902	6.0%
s	902	6.0%
e	901	6.0%
T	602	4.0%
S	602	4.0%
Other values (7)	2106	14.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	datum	M01AB	M01AE	N02BA	N02BE	N05B	N05C	R03	R06	Year	Month	Hour	Weekday Name
0	1/2/2014	0.00	3.67	3.4	32.40	7.0	0.0	0.0	2.0	2014	1	248	Thursday
1	1/3/2014	8.00	4.00	4.4	50.60	16.0	0.0	20.0	4.0	2014	1	276	Friday
2	1/4/2014	2.00	1.00	6.5	61.85	10.0	0.0	9.0	1.0	2014	1	276	Saturday
3	1/5/2014	4.00	3.00	7.0	41.10	8.0	0.0	3.0	0.0	2014	1	276	Sunday
4	1/6/2014	5.00	1.00	4.5	21.70	16.0	2.0	6.0	2.0	2014	1	276	Monday
5	1/7/2014	0.00	0.00	0.0	0.00	0.0	0.0	0.0	0.0	2014	1	276	Tuesday
6	1/8/2014	5.33	3.00	10.5	26.40	19.0	1.0	10.0	0.0	2014	1	276	Wednesday
7	1/9/2014	7.00	1.68	8.0	25.00	16.0	0.0	3.0	2.0	2014	1	276	Thursday
8	1/10/2014	5.00	2.00	2.0	53.30	15.0	2.0	0.0	2.0	2014	1	276	Friday
9	1/11/2014	5.00	4.34	10.4	52.30	14.0	0.0	1.0	0.2	2014	1	276	Saturday

Last rows

	datum	M01AB	M01AE	N02BA	N02BE	N05B	N05C	R03	R06	Year	Month	Hour	Weekday Name
2096	9/29/2019	3.51	3.867	3.00	67.80	6.0	0.0	3.0	2.10	2019	9	276	Sunday
2097	9/30/2019	2.00	1.439	2.10	49.40	9.0	0.0	5.0	2.00	2019	9	276	Monday
2098	10/1/2019	11.34	2.406	0.10	47.00	15.0	4.0	17.0	1.50	2019	10	276	Tuesday
2099	10/2/2019	5.18	3.274	2.80	30.20	9.0	1.0	0.0	1.10	2019	10	276	Wednesday
2100	10/3/2019	5.00	3.000	4.00	40.40	10.0	0.0	2.0	2.00	2019	10	276	Thursday
2101	10/4/2019	7.34	5.683	2.25	22.45	13.0	0.0	1.0	1.00	2019	10	276	Friday
2102	10/5/2019	3.84	5.010	6.00	25.40	7.0	0.0	0.0	0.33	2019	10	276	Saturday
2103	10/6/2019	4.00	11.690	2.00	34.60	6.0	0.0	5.0	4.20	2019	10	276	Sunday
2104	10/7/2019	7.34	4.507	3.00	50.80	6.0	0.0	10.0	1.00	2019	10	276	Monday
2105	10/8/2019	0.33	1.730	0.50	44.30	20.0	2.0	2.0	0.00	2019	10	190	Tuesday

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows